GRM-2.6-Plus-0628-MTP-reasoning-i1-GGUF
DAXZEIT/GRM-2.6-Plus-0628-MTP-reasoning-i1-GGUF
Tracked by OpenModelStats since September 18, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 824
- Total downloadsCumulative all-time download counter reported by the source platform.
- 8,699
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +127(increase)
- 1.5%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #3125 among tracked Image Text to Text models.
- #33,335
- 439(down 439 places)this week
- Parameters
- —
- Last source update
- Jul 30, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 37.5
- GRM-2.6-Plus-0628-MTP-reasoning-i1-GGUF gained 127 downloads during the last seven tracked days.
- It moved from #3095 to #3125 among tracked Image Text to Text models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
GRM-2.6-Plus-0628-MTP-reasoning-i1-GGUF is a image text to text model published by DAXZEIT. OpenModelStats has tracked the model since Sep 18, 2026, most recently observing it Sep 24, 2026.
- Published
- Jul 16, 2026
- Last updated
- Jul 30, 2026
- Library
- gguf
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 18
ggufimatrixreasoningquantizedqwen3_5mtpllama.cppagenticimage-text-to-textbase_model:OrionLLM/GRM-2.6-Plus-0628base_model:quantized:OrionLLM/GRM-2.6-Plus-0628license:apache-2.0
Publisher
DAXZEITView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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